In order to improve the integration and access efficiency of agricultural information, this paper propose an agricultural information integration framework based on knowledge graph. A knowledge graph of agricultural products producing and managing was constructed, covering the basic process of “Planting - farming - processing - quality inspection - warehousing - Transportation - Sales” and realizing the storage, mapping and inquiry of knowledge graph. Improves the method of mapping data linkage based on database mapping relation, and realizes the transformation of elements from database to knowledge graph elements. Map data link method of database based on mapping relations, realize the conversion of database elements to the knowledge graph elements, the iterative discovery of relation and pattern in text information is realized by means of weak supervised machine learning method. This method integrates the application in the Green-Cloud-Grid platform, and improves the efficiency of information source integration, correlation analysis and mining utilization under the platform.